MTN Benin and Ericsson have deployed Artificial Intelligence (AI) and Machine Learning (ML) algorithms for efficient predictions.
According to the Chief Executive Officer of MTN Benin, Ms. Uche Ofodile, the network management system utilizing AI and ML designed it to address output degradation and ultimately provide improved customer satisfaction.
This is building on the existing Ericsson Operation Engine designed to provide data-driven network operations, including state-of-the-art AI-enabled Cognitive Software for network optimization, she said.
Ms. Ofodile as well disclosed that, the ongoing rise of connected devices has led to increased spectrum requirements putting a strain on certain sites.
Ericsson devised its latest algorithms to act on highly accurate predictions of future lower throughput based on historical data, she noted.
“The most crucial aspect we are looking for is speed to service, the increased use of connected devices and the corresponding rise in network traffic. Ericsson has offered us the best available solution with their proactive AI and ML solutions, identifying the issue before it materializes.
“By utilizing Ericsson’s solution for designing creative network solutions, we hope to provide a more individualized approach to network management, thereby boosting customer satisfaction and successfully contributing to the government’s ambition to be the leading provider of digital services in West Africa,” the chief executive of MTN Benin.”
Ms. Uche Ofodile
MTN’s Journey Has A Positive Impact For Its Customer Experiences
According to Mr Hossam Kandeel, the Vice President and Head of Global Customer Unit MTN Africa at Ericsson Middle East, said it was a pleasure to support accelerating MTN Benin’s automation journey, with remarkable positive effects on end-user experience, network performance and operational efficiency.
“We are able to provide highly accurate predictions of future limited throughput anticipating no output challenges and offering zero-touch corrective action.
“This collaboration is aligned with our goal of transforming network operations and optimization to a proactive data-driven approach, building on Ericsson’s AI-Based Cognitive software and Operations Engine.”
Mr Hossam Kandeel
Mr. Kandeel in his speech explained that, the AI and ML solution was multi-faceted in its benefits as it addresses throughput degradation most efficiently by anticipating it, offering zero-touch corrective action, increasing throughput for Service-Level Agreements (SLAs), and making the best use of network resources.
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